Cover Image

Depression Detection at the Point of Care: Automated Analysis of Linguistic Signals from Routine Primary Care Encounters

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Chen, Feng, Bedmutha, Manas, Sabin, Janice, Hartzler, Andrea, Weibel, Nadir, Cohen, Trevor
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

SocialLM: Social Signal Processing of Patient-Provider Communication using LLMs and Contextual Aggregation
by: Bedmutha, Manas Satish, et al.
Published: (2025)

Toward Automated Detection of Biased Social Signals from the Content of Clinical Conversations
by: Chen, Feng, et al.
Published: (2024)

Predicting Trust In Autonomous Vehicles: Modeling Young Adult Psychosocial Traits, Risk-Benefit Attitudes, And Driving Factors With Machine Learning
by: Kaufman, Robert, et al.
Published: (2024)

DriveSimQuest: A VR Driving Simulator and Research Platform on Meta Quest with Unity
by: Chidambaram, Nishanth, et al.
Published: (2025)

Detecting PTSD in Clinical Interviews: A Comparative Analysis of NLP Methods and Large Language Models
by: Chen, Feng, et al.
Published: (2025)

Reading Between the Lines: Combining Pause Dynamics and Semantic Coherence for Automated Assessment of Thought Disorder
by: Chen, Feng, et al.
Published: (2025)

Depression Detection on Social Media with Large Language Models
by: Lan, Xiaochong, et al.
Published: (2024)

Query Carefully: Detecting the Unanswerables in Text-to-SQL Tasks
by: Saxer, Jasmin, et al.
Published: (2025)

LinguistAgent: A Reflective Multi-Model Platform for Automated Linguistic Annotation
by: Li, Bingru
Published: (2026)

Retrieval-Augmented Clinical Benchmarking for Contextual Model Testing in Kenyan Primary Care: A Methodology Paper
by: Mutisya, Fred, et al.
Published: (2025)

Bridging the Skills Gap: Evaluating an AI-Assisted Provider Platform to Support Care Providers with Empathetic Delivery of Protocolized Therapy
by: Kearns, William R., et al.
Published: (2024)

Preference-Based Learning in Audio Applications: A Systematic Analysis
by: Broukhim, Aaron, et al.
Published: (2025)

Routine: A Structural Planning Framework for LLM Agent System in Enterprise
by: Zeng, Guancheng, et al.
Published: (2025)

KatFishNet: Detecting LLM-Generated Korean Text through Linguistic Feature Analysis
by: Park, Shinwoo, et al.
Published: (2025)

Investigating Acoustic-Textual Emotional Inconsistency Information for Automatic Depression Detection
by: Su, Rongfeng, et al.
Published: (2024)

Same Words, Different Judgments: How Preferences Vary Across Modalities
by: Broukhim, Aaron, et al.
Published: (2026)

Developing Situational Awareness for Joint Action with Autonomous Vehicles
by: Kaufman, Robert, et al.
Published: (2024)

Predicting Turn-Taking and Backchannel in Human-Machine Conversations Using Linguistic, Acoustic, and Visual Signals
by: Lin, Yuxin, et al.
Published: (2025)

X-Blocks: Linguistic Building Blocks of Natural Language Explanations for Automated Vehicles
by: Zadeh, Ashkan Y., et al.
Published: (2026)

AlpaCare:Instruction-tuned Large Language Models for Medical Application
by: Zhang, Xinlu, et al.
Published: (2023)

Ace-CEFR -- A Dataset for Automated Evaluation of the Linguistic Difficulty of Conversational Texts for LLM Applications
by: Kogan, David, et al.
Published: (2025)

Detecting Linguistic Indicators for Stereotype Assessment with Large Language Models
by: Görge, Rebekka, et al.
Published: (2025)

LingVarBench: Benchmarking LLMs on Entity Recognitions and Linguistic Verbalization Patterns in Phone-Call Transcripts
by: Mohammadi, Seyedali, et al.
Published: (2025)

From Detection to Diagnosis: Advancing Hallucination Analysis with Automated Data Synthesis
by: Liu, Yanyi, et al.
Published: (2025)

Graph-Linguistic Fusion: Using Language Models for Wikidata Vandalism Detection
by: Trokhymovych, Mykola, et al.
Published: (2025)

Mechanistic Steering of LLMs Reveals Layer-wise Feature Vulnerabilities in Adversarial Settings
by: Das, Nilanjana, et al.
Published: (2026)

Numerical Words and Linguistic Loops: The Perpetual Four-Letter Routine
by: Polavaram, Krishna Chaitanya
Published: (2025)

Linking Knowledge to Care: Knowledge Graph-Augmented Medical Follow-Up Question Generation
by: Sun, Liwen, et al.
Published: (2026)

Too Big to Fail: Larger Language Models are Disproportionately Resilient to Induction of Dementia-Related Linguistic Anomalies
by: Li, Changye, et al.
Published: (2024)

ReDepress: A Cognitive Framework for Detecting Depression Relapse from Social Media
by: Agarwal, Aakash Kumar, et al.
Published: (2025)

ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data
by: Zheng, Xinzhe, et al.
Published: (2025)

"Is There Anything Else?'': Examining Administrator Influence on Linguistic Features from the Cookie Theft Picture Description Cognitive Test
by: Li, Changye, et al.
Published: (2025)

We Care: Multimodal Depression Detection and Knowledge Infused Mental Health Therapeutic Response Generation
by: Moon, Palash, et al.
Published: (2024)

Deep Knowledge-Infusion For Explainable Depression Detection
by: Dalal, Sumit, et al.
Published: (2024)

A GAN and LLM-Driven Data Augmentation Framework for Dynamic Linguistic Pattern Modeling in Chinese Sarcasm Detection
by: Wang, Wenxian, et al.
Published: (2026)

ChatLog: Carefully Evaluating the Evolution of ChatGPT Across Time
by: Tu, Shangqing, et al.
Published: (2023)

Large Language Models in Mental Health Care: a Scoping Review
by: Hua, Yining, et al.
Published: (2024)

Multi Class Depression Detection Through Tweets using Artificial Intelligence
by: Nusrat, Muhammad Osama, et al.
Published: (2024)

A High-Capacity and Secure Disambiguation Algorithm for Neural Linguistic Steganography
by: Feng, Yapei, et al.
Published: (2025)

CareLab at #SMM4H-HeaRD 2025: Insomnia Detection and Food Safety Event Extraction with Domain-Aware Transformers
by: Liang, Zihan, et al.
Published: (2025)